Poverty rate by state

Louisiana has the highest estimate (18.7%); New Hampshire has the lowest (7.2%). Source: U.S. Census Bureau, ACS 1-year, 2024.

50 ranked states; DC and Puerto Rico appear as reference rows where the source supplies them. Highest does not mean best. Ranks reflect point estimates; close values may not differ statistically.

Lowest state estimate 7.2% New Hampshire
Highest state estimate 18.7% Louisiana
Louisiana: 18.7% Mississippi: 17.8% West Virginia: 16.7% New Mexico: 16.4% Kentucky: 15.6% Arkansas: 15.5% Alabama: 15.2% Oklahoma: 14.9% New York: 14.0% Tennessee: 13.5% Michigan: 13.4% Texas: 13.4% South Carolina: 13.3% Ohio: 12.7% Georgia: 12.6% North Carolina: 12.5% Missouri: 12.3% Indiana: 12.2% Rhode Island: 12.2% Florida: 12.0% California: 11.8% Oregon: 11.8% Arizona: 11.7% Illinois: 11.6% Nevada: 11.6% Pennsylvania: 11.6% Iowa: 11.3% North Dakota: 11.1% Kansas: 10.9% Nebraska: 10.9% Maine: 10.6% Idaho: 10.5% South Dakota: 10.4% Wisconsin: 10.3% Alaska: 10.2% Connecticut: 10.2% Montana: 10.2% Wyoming: 10.1% Hawaii: 10.0% Washington: 9.9% Massachusetts: 9.7% Virginia: 9.7% Colorado: 9.6% Delaware: 9.6% Minnesota: 9.3% New Jersey: 9.2% Maryland: 9.1% Vermont: 9.0% Utah: 8.3% New Hampshire: 7.2%
Each dot is a state. The scale runs from the lowest to highest estimate; intervals are not shown here. Read about uncertainty.

State distribution and comparisons

The middle of the 50-state distribution is 11.6%: the average of the 25th and 26th ordered state estimates. This treats each state equally, so it answers a different question from a population-weighted national estimate.

One other state is statistically tied with Louisiana at 90% confidence: Mississippi. This is not a confidence interval for rank, and testing multiple pairs increases false-positive risk.

See the top ten estimates with their 90% margins of error6.6%19.3%LouisianaMississippiWest VirginiaNew MexicoKentuckyArkansasAlabamaOklahomaNew YorkTennessee

Shared axis spans the complete 50-state estimate ± MOE range. Intervals describe individual estimates; overlapping intervals alone are not our significance test.

How does this compare with child poverty rate?

These states’ ranks change the most between poverty rate and child poverty rate. These comparisons identify different questions worth investigating; a rank gap does not measure a causal effect or a statistical difference between unlike units.

StatePoverty rateChild poverty rate
Idaho10.5% · #3211.1% · #42
Delaware9.6% · #4312.6% · #33
New Jersey9.2% · #4611.7% · #36

Inspect these states, definitions and pairwise differences.

Values over time

Annual ACS 1-year estimates, 2021–2024. Each year is a separate published survey release; 2020 is excluded because the Census Bureau did not release standard 1-year estimates for that year. Ranks are recalculated among the same 50 states for each year.

The state-by-state view

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Ranked among 50 states; District of Columbia and Puerto Rico shown for reference. Rank 1 = highest value.

Poverty rate · 2024 · Percent
RankState / jurisdictionValue90% margin of errorDifference from previous rank
1Louisiana18.7%± 0.6%Highest estimate
2Mississippi17.8%± 0.8%Not distinguishable at 90%
3West Virginia16.7%± 0.7%Different at 90%
4New Mexico16.4%± 0.9%Not distinguishable at 90%
5Kentucky15.6%± 0.5%Not distinguishable at 90%
6Arkansas15.5%± 0.6%Not distinguishable at 90%
7Alabama15.2%± 0.5%Not distinguishable at 90%
8Oklahoma14.9%± 0.4%Not distinguishable at 90%
9New York14.0%± 0.3%Different at 90%
10Tennessee13.5%± 0.4%Not distinguishable at 90%
11Michigan13.4%± 0.3%Not distinguishable at 90%
11Texas13.4%± 0.2%Not distinguishable at 90%
13South Carolina13.3%± 0.5%Not distinguishable at 90%
14Ohio12.7%± 0.3%Different at 90%
15Georgia12.6%± 0.3%Not distinguishable at 90%
16North Carolina12.5%± 0.3%Not distinguishable at 90%
17Missouri12.3%± 0.4%Not distinguishable at 90%
18Indiana12.2%± 0.4%Not distinguishable at 90%
18Rhode Island12.2%± 1.0%Not distinguishable at 90%
20Florida12.0%± 0.3%Not distinguishable at 90%
21California11.8%± 0.2%Not distinguishable at 90%
21Oregon11.8%± 0.5%Not distinguishable at 90%
23Arizona11.7%± 0.4%Not distinguishable at 90%
24Illinois11.6%± 0.3%Not distinguishable at 90%
24Nevada11.6%± 0.7%Not distinguishable at 90%
24Pennsylvania11.6%± 0.3%Not distinguishable at 90%
27Iowa11.3%± 0.4%Not distinguishable at 90%
28North Dakota11.1%± 0.9%Not distinguishable at 90%
29Kansas10.9%± 0.5%Not distinguishable at 90%
29Nebraska10.9%± 0.6%Not distinguishable at 90%
31Maine10.6%± 0.6%Not distinguishable at 90%
32Idaho10.5%± 0.7%Not distinguishable at 90%
33South Dakota10.4%± 0.8%Not distinguishable at 90%
34Wisconsin10.3%± 0.3%Not distinguishable at 90%
35Alaska10.2%± 0.9%Not distinguishable at 90%
35Connecticut10.2%± 0.6%Not distinguishable at 90%
35Montana10.2%± 0.7%Not distinguishable at 90%
38Wyoming10.1%± 1.2%Not distinguishable at 90%
39Hawaii10.0%± 0.7%Not distinguishable at 90%
40Washington9.9%± 0.3%Not distinguishable at 90%
41Massachusetts9.7%± 0.3%Not distinguishable at 90%
41Virginia9.7%± 0.3%Not distinguishable at 90%
43Colorado9.6%± 0.4%Not distinguishable at 90%
43Delaware9.6%± 1.1%Not distinguishable at 90%
45Minnesota9.3%± 0.4%Not distinguishable at 90%
46New Jersey9.2%± 0.3%Not distinguishable at 90%
47Maryland9.1%± 0.4%Not distinguishable at 90%
48Vermont9.0%± 0.8%Not distinguishable at 90%
49Utah8.3%± 0.4%Not distinguishable at 90%
50New Hampshire7.2%± 0.6%Different at 90%
Ref.District of ColumbiaNot ranked among states17.3%± 1.7%Reference jurisdiction
Ref.Puerto RicoNot ranked among states37.3%± 1.0%Reference jurisdiction

50 states plus 2 reference rows.

What this ranking measures

People below the official poverty threshold as a share of the population for whom poverty status is determined.

Official thresholds vary by family size and composition, but not by local housing costs. This is not the Supplemental Poverty Measure.

The size of the gap

The difference between the highest and lowest state estimates is 11.5 percentage points. The U.S. benchmark is 12.1%. It is not a simple average of the states.

19 states have point estimates above the U.S. benchmark and 31 below it. These counts do not establish statistical significance.

How much should you read into a rank?

Each estimate has a 90% margin of error published by the Census Bureau. For two different states, we flag a difference only when its absolute size exceeds the square root of the sum of their squared margins of error. The comparison tool applies this check to every selected pair.

Non-significance is not proof of equality. These pairwise tests are not adjusted for multiple comparisons and do not form ranking confidence intervals. Statistical method and limitations.

Ranks use the full precision of the source file, so only truly equal values share a rank (1, 2, 2, 4).

Keep exploring

How income definitions change a ranking.

Explore the same states in a side-by-side comparison, or combine this measure with others in the custom ranking tool.

Source and method

Producer
U.S. Census Bureau
Product / file
ACS 1-year · GCT1701
Period
2024
Unit
Percent
Calculation
Published estimate; no transformation of the value. Rank = 1 + number of eligible jurisdictions with a higher value.
Coverage
The 50 states are ranked. Washington, D.C., can be added with the toggle above the table; Puerto Rico is shown for reference only, where the source covers it.
Cadence
Annual. 2025 ACS 1-year estimates scheduled for October 29, 2026 (Census ACS updates page); adoption follows editorial review.
Independence
Rank the States is independent. The agencies that produce the source data do not endorse these rankings.

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Download the default full table (CSV) or use the download above for the table’s current filter and order. Data dictionary and source metadata

Updates and corrections

Last updated Oct. 23, 2026. Earlier editions stay available on the data page, and every change is listed in the update log. If a number or definition looks wrong, report an error with the state, value, and source you checked.

Related rankings

State distributions: each mark is one state, from lowest to highest. Each row uses its own scale.

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